Method and system for business intelligence analytics on unstructured data

Abstract

Various embodiments of the present invention disclose a method for Business Intelligence (BI) metrics on unstructured data. Unstructured data is collected from numerous data sources that include unstructured data as ingested data. The ingested data is indexed and represents hyperlink and extracted data and metadata for each document. Thereafter, the ingested data is automatically classified into one or more relevance classes. Further, numerous analytics are performed on the classified data to generate business intelligence metrics that may be presented on an access device operated by a user.

Description

RELATED APPLICATIONS[0001]This application claims priority under 35 U.S. C. §119 to the following applications, hereby incorporated by reference, as is set forth in full in this application: U.S. Provisional Application No. 61 / 103,492, titled ‘Business Intelligence Analytics On Unstructured Data’, filed on Oct. 7, 2008 and U.S. Provisional Application having attorney docket number 4326.03US01, titled ‘Business Intelligence Analytics On Unstructured Data’, filed on Oct. 6, 2009.BACKGROUND[0002]Various embodiments of the present invention relate generally to Business Intelligence (BI) and more specifically to a method and system for BI metrics on data collected from multiple data sources that may include unstructured data.[0003]BI refers to technologies, applications and practices for collection, integration, analysis, and presentation of content such as business information. Current BI applications collect content from various information sources such as newspapers, articles, blogs a...

AI Technical Summary

Benefits of technology

[0025]In various embodiments a data processing machine is utilized to automatically classify each of the one or more documents into one or more relevance classifications using multimodal indexing for at least some of the documents to generate index information that is stored with the ingested data index for that document to form the domain-relevant classified data index representing the ingested data.

[0026]Further, various embodiments utilize a data processing machine to automatically process the ingested data with the plurality of different intelligence metric modules using different data processing machines to perform different ones of the plurality of different intelligence metric modules. In other embodiments the process utilize a data processing machine to automatically process the ingested data with the plurality of different intelligence metric modules including reprocessing one or more documents with at least one of the intelligence metric modules.

[0027]Various embodiments may utilize a data processing machine to automatically process the ingested data with the plurality of different intelligence metric mo...

Problems solved by technology

Further, the dynamically generated topics upon which the relevance classifications are based are not determined prior to using the data processing machine to collect ingested data based upon analytic requirements of the intelligence metric modules.

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